Visium
Mouse parathyroid gland
GSM9008657
silver H&E primary hyperparathyroidism No linked publication
print(sdata)
SpatialData object
├── Images
│ └── 'GSM9008657_MUT-4_318M_hires_image': DataArray[cyx] (3, 1922, 2000)
├── Shapes
│ └── 'GSM9008657_MUT-4_318M': GeoDataFrame shape: (1466, 2) (2D shapes)
└── Tables
└── 'table': AnnData (1466, 19465)
with coordinate systems:
▸ 'GSM9008657_MUT-4_318M', with elements:
GSM9008657_MUT-4_318M_hires_image (Images), GSM9008657_MUT-4_318M (Shapes)
▸ 'GSM9008657_MUT-4_318M_downscaled_hires', with elements:
GSM9008657_MUT-4_318M_hires_image (Images), GSM9008657_MUT-4_318M (Shapes)
▸ 'GSM9008657_MUT-4_318M_downscaled_lowres', with elements:
GSM9008657_MUT-4_318M (Shapes) Load in Python
import lamindb as ln
db = ln.DB("scverse/spatialdata-db")
artifact = db.Artifact.get("KZR7r2JNBBfL9nqf") # latest version
sdata = artifact.load() # cache, then load into memory
group = artifact.open() # stream without downloading
path = artifact.cache() # sync into the local cache, returns the path Load from the CLI
# one-shot: cache the dataset and print its local path
lamin load https://lamin.ai/scverse/spatialdata-db/artifact/KZR7r2JNBBfL9nqf
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid KZR7r2JNBBfL9nqf Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["KZR7r2JNBBfL9nqf0000"])[0]
ds.elements() # inspect without downloading
sdata = ds.load(lazy=False) # copy to the local cache and openPart of collection
Spatial Transcriptomic Analysis of Mouse Parathyroid Gland Cells Expressing an Activating Variant of Gcm2→ 8 datasets · comparison
Metadata
- Technology
- Visium
- Organism
- mouse
- Tissue
- parathyroid gland
- Condition
- primary hyperparathyroidism
- Modality
- RNA
- Observations
- 1,466
- Tier
- silver
- Chemistry
- Visium v1
- Resolution
- 2,000 × 1,922 px
- mpp
- 4.011 µm/px
- Size
- 11 MB
- Sample ID
- GSM9008657
- License
- unknown
- Published
- Nov 13, 2025
Cite this dataset
No linked publication found — please cite the data source: NCBI GEO ↗.
Source: NCBI GEO ↗ · Reprocessed to SpatialData by SpatialData-DB